-
公开(公告)号：US11010629B2
公开(公告)日：2021-05-18
申请号：US16507270
申请日：2019-07-10
发明人： Zhou Feng , Ning Li , Hongliang Wu , Kewen Wang , Peng Liu , Yusheng Li , Huafeng Wang , Chen Wang
摘要： A method and an apparatus for automatically extracting image features of electrical imaging well logging, wherein the method comprises the steps of: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing and marking a typical geological feature in the electrical imaging well logging image covering the full hole, obtaining a processed image, and determining the processed image as a training sample according to types of the geological features; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample; using the trained deep learning model, recognizing type of a geological feature of an electrical imaging well logging image of a well section to be recognized, and performing morphological optimization processing on the recognition result to obtain a feature optimization recognition result. The solution can automatically, quickly and accurately recognize the typical geological features in the electrical imaging well logging image.
-
2.发明申请公开(公告)号：US20200065620A1
公开(公告)日：2020-02-27
申请号：US16506891
申请日：2019-07-09
发明人： Zhou Feng , Hongliang Wu , Ning Li , Kewen Wang , Peng Liu , Yusheng Li , Huafeng Wang , Binsen Xu
摘要： A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
-
公开(公告)号：US11010507B2
公开(公告)日：2021-05-18
申请号：US15749290
申请日：2016-10-10
发明人： Zhou Feng , Ning Li , Hongliang Wu , Huafeng Wang , Qingfu Feng , Kewen Wang
摘要： The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected. By establishing the stratum rock component model, determining corresponding well logging response equation, and parsing through an expression parsing method and recording and storing the well logging response equation expression, and then, establishing the target function of the optimization problem, and obtaining the optimal component content of the stratum to be detected through the iteration algorithm, the present invention can not only optimizes the self-defined well logging response equation expression of the user, but achieves a high processing precision.
-
4.发明申请公开(公告)号：US20200065606A1
公开(公告)日：2020-02-27
申请号：US16507270
申请日：2019-07-10
发明人： Zhou Feng , Ning Li , Hongliang Wu , Kewen Wang , Peng Liu , Yusheng Li , Huafeng Wang , Chen Wang
摘要： A method and an apparatus for automatically extracting image features of electrical imaging well logging, wherein the method comprises the steps of: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing and marking a typical geological feature in the electrical imaging well logging image covering the full hole, obtaining a processed image, and determining the processed image as a training sample according to types of the geological features; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample; using the trained deep learning model, recognizing type of a geological feature of an electrical imaging well logging image of a well section to be recognized, and performing morphological optimization processing on the recognition result to obtain a feature optimization recognition result. The solution can automatically, quickly and accurately recognize the typical geological features in the electrical imaging well logging image.
-
5.发明授权公开(公告)号：US11003952B2
公开(公告)日：2021-05-11
申请号：US16506891
申请日：2019-07-09
发明人： Zhou Feng , Hongliang Wu , Ning Li , Kewen Wang , Peng Liu , Yusheng Li , Huafeng Wang , Binsen Xu
摘要： A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
-
公开(公告)号：US20180246999A1
公开(公告)日：2018-08-30
申请号：US15749290
申请日：2016-10-10
发明人： Zhou Feng , Ning Li , Hongliang Wu , Huafeng Wang , Qingfu Feng , Kewen Wang
CPC分类号： G06F17/5009 , E21B41/0092 , E21B49/00 , E21B49/02 , G01V99/00 , G06F17/50
摘要： The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected. By establishing the stratum rock component model, determining corresponding well logging response equation, and parsing through an expression parsing method and recording and storing the well logging response equation expression, and then, establishing the target function of the optimization problem, and obtaining the optimal component content of the stratum to be detected through the iteration algorithm, the present invention can not only optimizes the self-defined well logging response equation expression of the user, but achieves a high processing precision.
-
-
-
-
-
搜索结果
6 条记录 (耗时 0.018 秒)
